Items where Author is "Classen, Jiska"
. defence evasion
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
adversarial example transferability
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Adversarial Machine Learning
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Command and Control (C2)
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
cyber offense simulation
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
flow-based network analysis
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Generative Adversarial Networks (GANs)
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Machine Learning robustness
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
MITRE ATT&CK and MITRE ATLAS
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
ML security evaluation
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Network Intrusion Detection Systems (NIDS)
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Packet-Level Traffic Manipulation
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
post-exploitation techniques
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Red Teaming
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
Stealthy Network Communications
Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas
(2025)
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems.
In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025.
USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127.
ISBN 978-1939133502
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